Application Guide

How to Apply for Data and Platform Architect (m/f/d)

at Integrity Next

🏢 About Integrity Next

IntegrityNext is unique as a company dedicated to enhancing corporate supply chains for sustainability, combining technology with purpose-driven impact. They're building an innovative AI and data platform on AWS specifically for supply chain and product compliance, offering the chance to work on meaningful technology that addresses real-world environmental and ethical challenges.

About This Role

This is a hands-on architect role where you'll build and evolve IntegrityNext's shared AI and data platform on AWS, transitioning from PostgreSQL-backed structured data to unstructured data and lakehouse capabilities. You'll spend 70% on engineering (Python services, data pipelines, SQL/PostgreSQL architecture, AWS integrations) and 30% on architectural guidance, with end-to-end ownership under the 'You build it, you run it' principle.

💡 A Day in the Life

A typical day involves hands-on Python development for platform services, designing and optimizing PostgreSQL data architecture, and implementing AWS integrations. You'll collaborate with Java product teams, participate in design reviews, and take operational responsibility for platform capabilities you've built, while using AI-assisted tools for development tasks.

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Interview Prep

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🎯 Who Integrity Next Is Looking For

  • Has hands-on experience with PostgreSQL-backed data architecture and Python-based platform services on AWS
  • Demonstrates practical knowledge of transitioning from structured to unstructured data systems and implementing lakehouse capabilities
  • Is comfortable with spec-driven development and actively uses AI-assisted engineering tools like Claude Code or Cursor
  • Can balance 70% engineering work with 30% architectural guidance and thrives in a 'You build it, you run it' environment

📝 Tips for Applying to Integrity Next

1

Highlight specific experience with PostgreSQL data architecture and Python-based AWS services, not just general cloud knowledge

2

Demonstrate your experience with AI-assisted engineering tools by mentioning specific projects where you used Claude Code, Cursor, or similar

3

Show examples of 'You build it, you run it' ownership in previous roles, emphasizing end-to-end responsibility

4

Explain how you've transitioned systems from structured to unstructured data or implemented lakehouse capabilities

5

Mention experience working alongside Java-based systems, as they collaborate closely with Java product teams

✉️ What to Emphasize in Your Cover Letter

['Your hands-on experience with PostgreSQL data architecture and Python-based AWS services', 'Examples of spec-driven development and AI-assisted engineering tool usage', "Experience with 'You build it, you run it' ownership models and operational responsibility", 'How your work aligns with sustainability and supply chain technology']

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🔍 Research Before Applying

To stand out, make sure you've researched:

  • → IntegrityNext's specific supply chain and product compliance platform offerings
  • → AWS services commonly used for data platforms and lakehouse implementations
  • → Current trends in sustainable supply chain technology and compliance
  • → The company's approach to AI and data platform development from their technical blog or case studies

💬 Prepare for These Interview Topics

Based on this role, you may be asked about:

1 Detailed questions about your PostgreSQL data architecture experience and optimization strategies
2 Scenarios about transitioning from structured to unstructured data systems on AWS
3 Your approach to 'You build it, you run it' ownership and operational responsibility
4 Experience with AI-assisted engineering tools and spec-driven development workflows
5 How you've collaborated with Java-based systems in previous platform roles
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⚠️ Common Mistakes to Avoid

  • Focusing only on high-level architecture without demonstrating 70% hands-on engineering capability
  • Not showing specific experience with PostgreSQL data architecture or Python-based AWS services
  • Being unfamiliar with AI-assisted engineering tools or spec-driven development practices

📅 Application Timeline

This position is open until filled. However, we recommend applying as soon as possible as roles at mission-driven organizations tend to fill quickly.

Typical hiring timeline:

1

Application Review

1-2 weeks

2

Initial Screening

Phone call or written assessment

3

Interviews

1-2 rounds, usually virtual

✓

Offer

Congratulations!

Ready to Apply?

Good luck with your application to Integrity Next!

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